What are the hardware requirements for C4ai Command R V01 SFT?

C4ai Command R V01 SFT requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed C4ai Command R V01 SFT and how large is it?

C4ai Command R V01 SFT is developed by Utshav. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate C4ai Command R V01 SFT?

C4ai Command R V01 SFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

C4ai Command R V01 SFT by Utshav — VRAM 0.2GB

Name: C4ai Command R V01 SFT
Author: Utshav

C4ai Command R V01 SFT is an open-source language model by Utshav. Features: LLM, VRAM: 0.2GB, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.11.

4bit Adapter Base model:adapter:coherelabs/... Base model:coherelabs/c4ai-com... Dataset:generator Finetuned Generated from trainer Lora Peft Quantized Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/Utshav/c4ai-command-r-v01-SFT

C4ai Command R V01 SFT Parameters and Internals

Additional Notes

More information needed on model description, intended uses, and limitations

Training Details

Data Sources:

generator

Methodology:

fine-tuning

LLM Name	C4ai Command R V01 SFT
Repository 🤗	https://huggingface.co/Utshav/c4ai-command-r-v01-SFT
Base Model(s)	CohereForAI/c4ai-command-r-v01-4bit CohereForAI/c4ai-command-r-v01-4bit
Required VRAM	0.2 GB
Updated	2026-06-23
Maintainer	Utshav
Model Files	0.2 GB 0.0 GB
Quantization Type	4bit
Model Architecture	Adapter
License	cc-by-nc-4.0
Is Biased	none
Tokenizer Class	CohereTokenizer
Padding Token	<\|END_OF_TURN_TOKEN\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|up_proj\|v_proj\|gate_proj\|o_proj\|k_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the C4ai Command R V01 SFT capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Note: green Score (e.g. "73.2") means that the model is better than Utshav/c4ai-command-r-v01-SFT.